306 structures-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in Germany
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structured way of working, and enjoyment of interdisciplinary and international collaboration. We offer An attractive, research-intensive, and interdisciplinary working environment, A varied position at the
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chips with fluidic, optical and electronic components. Soft Material Microstructuring: hydrogels, droplet microfluidics, and other soft materials relevant to biomedical applications. 3D structuring using
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for Intelligent Structures, Neuromechanics of Movement, Organizational Leadership and Diversity, and Robotic Composites and Compositions. The open position is funded by the Max-Planck-Gesellschaft (Max Planck
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project, we are constructing a VUV frequency comb and offering various topics for thesis projects: Development, construction, and characterization of a laser amplifier Investigations into lock instabilities
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research Production, assembly and characterization of fuel cell components Formulation development of conductive polymers Research into innovative manufacturing processes Design, construction and validation
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) Tübingen Structural Microscopy (TSM) Research data management (RDM) Core research Back Profile areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster
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motivation and curiosity • Ability to work in an interdisciplinary team • Structured and independent way of working • Experience in high-resolution fluorescence microscopy and microfluidics • Practical
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contributions of hydrogel components and their functional impact on airway and intestinal surfaces. Our key objective is the molecular definition of mucus (structure, properties and dynamics at the molecular
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-based innovation A structured, proactive, and communicative work style Creativity, resilience, and a strong drive to solve complex scientific problems Advantageous for this position: Experience in
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or willingness to learn Experience in working with Python, MATLAB or comparable tools for signal analysis Knowledge of machine learning (especially model deployment) is an advantage Structured, independent, and